electricsheepafrica/africa-ghana-national-accident-statistics-by-region-7c428bfb

National Accident Statistics by Region | Africa (Ghana official open data)

292 rows - 1 Africa country - 1991-2011 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Ghana as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: National Accident Statistics by Region
• Publisher: Official government open data portal
• Resource: Trends in Road Accidents and Casualties Volta Region (1991 - 2011)
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
GHA	292	1991	2011	Ghana

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	92042651-7492-40bf-9dab-34c5d641e4bc:0
country_iso3	string	ISO3 country code.	GHA
country_name	string	Country name.	Ghana
doctype_html_public_w3c_dtd_xhtml_rdfa_1_0_en	string	Source column.	"https://www.w3.org/MarkUp/DTD/xhtml-rdfa-1.dtd">
source_period_start_year	Int64	First year inferred from source resource metadata.	1991
source_period_end_year	Int64	Last year inferred from source resource metadata.	2011
source_period_label	string	Human-readable period inferred from source resource metadata.	1991-2011
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source package title.	National Accident Statistics by Region
source_resource	string	Source resource title.	Trends in Road Accidents and Casualties Volta Region (1991 - 2011)
source_package_id	string	CKAN package UUID.	519dfb13-4adc-4981-b34a-1d95948a5e5d
source_resource_id	string	CKAN resource UUID.	92042651-7492-40bf-9dab-34c5d641e4bc
source_url	string	Original source resource URL.	http://data.gov.gh/sites/default/files/Trends%20in%20Road%20Accidents%20
license_id	string	Source license identifier.	cc-by
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T20:11:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ghana-national-accident-statistics-by-region-7c428bfb")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "GHA"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_ghana_national_accident_statistics_by_region_7c428bfb_2011,
  title        = {National Accident Statistics by Region | Africa (Ghana official open data)},
  author       = {Official government open data portal},
  year         = {2011},
  url          = {http://data.gov.gh/dataset/national-accident-statistics-region},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-national-accident-statistics-by-region-7c428bfb}}
}

License

Released under CC BY 4.0.

Original data (c) Official government open data portal. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-07-18 via the Electric Sheep pipeline. Source URL: http://data.gov.gh/sites/default/files/Trends%20in%20Road%20Accidents%20and%20Casualties%20Volta%20Region%20%281991%20-%202011%29.csv